(Senior) Consultant Data Engineer SAS (all genders)

TN Germany; Nürnberg; Vor Ort; EUR 55.000 - 90.000; Vollzeit

Zusammenfassung

An innovative IT service provider seeks a Senior Consultant Data Engineer to join their dynamic Data & Analytics team in Nürnberg. This role offers the opportunity to design and develop cutting-edge data-driven products while collaborating closely with clients to understand their needs. You will leverage your expertise in data architecture, SAS, and SQL to create effective data management solutions and drive impactful analytics projects. Join a forward-thinking company that values your input and fosters your professional growth in a diverse and exciting work environment.

Qualifikationen

• Experience in Data & Analytics projects through a completed degree.
• Knowledge of DWH/Data Lake architecture and data modeling.

Aufgaben

• Design and implement data management pipelines and architectures.
• Analyze data sets and present statistical insights to clients.

Kenntnisse

Data Architecture

SAS

SQL

Data Management

Requirements Management

Data Quality

Ausbildung

Degree in Data Engineering

Tools

MS Azure

AWS

GCP

Snowflake

Informatica

Jobbeschreibung

(Senior) Consultant Data Engineer SAS (all genders), Nürnberg

Nürnberg, Germany

Berlin, Köln, Hamburg, Stuttgart, Dortmund, Frankfurt, Nürnberg, München

Do you understand the business of an IT service provider and want to expand your experience and knowledge from diverse Data & Analytics projects in exciting client projects? Do you enjoy developing and specifying clever solutions for modern data architecture? Then you are exactly right in our Data & Analytics team!

You will design, advise, and develop Data Driven Products for our customers and serve as the interface between Data & Analytics and business departments.

Your responsibilities include:

1. "Data makes the difference between goal and dream": With enthusiasm and commitment, you acquire project-specific expertise and enjoy interacting with clients.
2. Developing and specifying requirements for modern data architectures
3. Design and implementation of performant data management pipelines
4. Analyzing data sets and deriving statistical insights, presenting these to our clients
5. Depending on experience, conducting independent pre-sales activities, supporting new team members as a Business Intelligence expert, and planning individual workshops with clients
6. Having gained diverse experience in Data & Analytics projects through a completed degree as a Data Engineer and understanding the business of an IT service provider
7. Experience in requirements management and implementation of Data & Analytics client projects
8. Knowledge of DWH/Data Lake architecture and data modeling according to Inmon and Kimball
9. Deep product knowledge of SAS and other technologies such as MS Azure, AWS, GCP, Snowflake, Informatica, supported by manufacturer certifications and proven project experience
10. Excellent SQL skills
11. Additional experience in Data Management topics such as Master Data Management or Data Quality
12. A high level of result and customer orientation, with willingness to travel nationwide